{"id":"W4416847229","doi":"10.21125/iceri.2025.0715","title":"BURNOUT PROFILES OF CANADIAN UNDERGRADUATE STUDENTS USING LATENT PROFILE ANALYSIS","year":2025,"lang":"","type":"article","venue":"ICERI proceedings","topic":"Health and Well-being Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Burnout; Latent class model; Data collection; Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001066903,0.0006230447,0.001417094,0.004592241,0.0007946616,0.0001977465,0.0008414314,0.000485237,0.0004171272],"category_scores_gemma":[0.0001821231,0.0006419839,0.000438076,0.009009272,0.0003496957,0.0001702309,0.0002842435,0.0005882649,0.0001095149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006253445,"about_ca_system_score_gemma":0.001162565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2771796,"about_ca_topic_score_gemma":0.02650843,"domain_scores_codex":[0.9949142,0.00006646632,0.001529209,0.001140187,0.0006635585,0.001686406],"domain_scores_gemma":[0.997368,0.00008657212,0.0007626826,0.0003741702,0.0008747565,0.0005338453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002348468,0.0005099121,0.9491055,0.002505999,0.008908926,0.00002760487,0.01025999,0.00004803597,0.0006436297,0.01268608,0.01272766,0.002341839],"study_design_scores_gemma":[0.004302156,0.0008262228,0.8913534,0.002579401,0.01360276,0.00001655798,0.01165791,0.003985596,0.002356224,0.001814488,0.06560826,0.001896975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9037661,0.002954939,0.00005871459,0.005822457,0.001426141,0.001756548,0.0001538228,0.00007519538,0.08398611],"genre_scores_gemma":[0.9884315,0.0008914537,0.0005747947,0.001044744,0.0001798509,0.0001235127,0.00002027043,0.000051376,0.00868253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2506712,"threshold_uncertainty_score":0.9996032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083026414676508,"score_gpt":0.355473927570693,"score_spread":0.3246436634239279,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}